A non-contact physiological signal monitoring system was proposed using Doppler radar sensor to detect the movement of human thoracic cavity. The system consists of Doppler radar sensor, signal conditioning, MCU data processing and wireless communication. The system collects human chest movement due to heart and respiration (pleura fretting signals for conditioning). The experimental results show that the Doppler radar that the system used with the zero phase IIR digital filter can achieve real-time monitoring, store the physiological data, separate respiration and heartbeat signals, eliminate the distortion of the signal phase and have advantages of small size, low power consumption, strong penetration.

Driver drowsiness is one of main causes of road accidents worldwide and has drawn attentions of automobile industries, government organisations as well as researcher scientists and engineers. A non-contact Doppler radar technique for monitoring driver drowsiness is presented. On the basis of unobtrusive Doppler measurement of the respiratory and heart signals, the statistical analysis shows that there is a consistent dependency of the respiratory depth on drowsiness level of drivers. It shows that the non-contact Doppler radar technique can provide an effective approach to monitor driver drowsiness.

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